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What will I learn?

Train to work as a professional statistician and gain skills and experience working at the interface between statistics and finance.

Our course emphasises data analysis and will provide you with contemporary statistical ideas and methodologies that are attractive to prospective employers. The skills you gain are useful for a wide range of financial data analysis and in a range of other sectors where data analysis is required, for example sociology, health science, medical science, or biology. This experience is also an ideal foundation for further academic study; many of our students choose to progress to PhD.

Our Statistics and Probability Group has a thriving research culture. Our group works with mainstream statistics to develop new methodology and apply it to real-world problems. The team produces world-class research, publishing in top journals. Our graduate students have full access to this expertise, as well as being exposed to forefront research carried out across the globe through our regular seminars and working groups.

Assessment and feedback

All taught modules are assessed by a combination of closed book written exams, coursework, projects, and presentations.

The closed book written exam assesses your subject-specific knowledge through both theoretical and practical questions and open-ended problems.

The coursework and projects often require the use of software, giving you an opportunity to develop your technical skills. They will test your subject knowledge and analytical, theoretical skills as well as the practical aspects of application, implementation, and interpretation.

Developing and delivering digital presentations will enhance your communication skills for a range of audiences, from the public to subject experts.

The independent study module relies on your own research, so you'll continue to develop your critical reasoning and digital literacy skills, including programming. As this module is assessed with a dissertation, your training is rounded off by consistently working on your written communication skills.

Careers and skills

The big data analysis skills you develop on this course provide attractive employment opportunities in a growing number of industries where such skills are in high demand. The course is also a good foundation for continuing your studies at PhD level.

Career opportunities

  • Quantitative analyst
  • Auditor
  • Account manager for a bank
  • Trainee chartered accountant
  • Management associate
  • Software developer

Which department am I in?

Mathematics

Study options

Full Time (1 year)

Tuition fees
£26,930.00 (US$ 29,181) per year
This is a fixed fee

*Price shown is for indicative purposes, please check with institution

Start date

Expected September 2023

Venue

University of York

Heslington,

York,

YO10 5DD, England

Entry requirements

For students from United States

For a research degree, such as an MPhil or a PhD, you would normally need a Bachelors degree plus either a Masters degree in a relevant subject or some experience of conducting research. If you're a non-native English speaking applicant you must provide evidence of your English language ability.

For international students

Undergraduate degree: 2:1 or equivalent in Mathematics or in a subject with a substantial mathematics component. We may accept a 2:2 undergraduate degree supported by relevant professional qualifications. English language requirements: IELTS 6.0, minimum 5.5 in each component, TOEFL 79, minimum 17 in Listening, 18 in Reading, 20 in Speaking and 17 in Writing.

*There may be different IELTS requirements depending on your chosen course.

Pathways options

Offered by other partners

This university accepts pathways courses from
  • Kaplan International College (KIC) London
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About University of York

The University of York is based in the historic city of York, regularly named one of the best places to live and visit in the UK.

  • Awarded Gold in the Teaching Excellence Framework (TEF)
  • Part of the Russell Group of 24 leading UK universities
  • York is consistently ranked as one of the top UK universities
  • More than 20,000 students from over 150 countries

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